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- Tasks: Deliver advanced AI solutions to boost trading performance and risk management.
- Company: Leading organisation with a focus on innovation and efficiency.
- Benefits: Competitive salary, relocation support, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the trading industry.
- Qualifications: Expertise in Python, machine learning, and a degree in Data Science or related field.
- Other info: Exciting opportunity to work in Saudi Arabia with excellent career prospects.
The predicted salary is between 36000 - 60000 £ per year.
A leading organization is seeking a Data Scientist (AI Specialist) to deliver advanced AI and data-science solutions that enhance trading performance, risk management, and operational efficiency.
The role requires strong expertise in Python and machine learning, along with a proven track record in deploying models to production.
A Bachelor’s or Master’s degree in Data Science or a related field is needed.
This position is based in Saudi Arabia, with competitive compensation and relocation support.
AI Data Scientist for Trading & Risk — Relocation Support employer: PE Global
Contact Detail:
PE Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Scientist for Trading & Risk — Relocation Support
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and risk management sectors on LinkedIn. We can leverage our connections to get insights and maybe even referrals that could land us an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to trading and risk. We can use platforms like GitHub to share our work and demonstrate our expertise in Python and machine learning.
✨Tip Number 3
Prepare for the interview like it’s the big game! Research the company’s trading strategies and risk management practices. We should be ready to discuss how our skills can enhance their operations and performance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily and stay updated on any new opportunities.
We think you need these skills to ace AI Data Scientist for Trading & Risk — Relocation Support
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and machine learning in your application. We want to see how you've used these skills in real-world scenarios, especially in trading or risk management.
Tailor Your CV: Don’t just send a generic CV! Tailor it to the job description by emphasising your relevant experience and education. We love seeing how your background aligns with what we’re looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data science, and how you can contribute to enhancing trading performance and operational efficiency at our company.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at PE Global
✨Know Your AI and Data Science Inside Out
Make sure you brush up on your knowledge of AI and data science concepts, especially those related to trading and risk management. Be prepared to discuss specific projects where you've deployed machine learning models in production, as this will showcase your practical experience.
✨Show Off Your Python Skills
Since strong expertise in Python is a must for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand. Familiarity with libraries like Pandas, NumPy, and Scikit-learn will definitely give you an edge.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in real-world situations. Think about how you would approach a trading algorithm or risk assessment task, and be ready to explain your thought process clearly and logically.
✨Research the Company and Its Culture
Before the interview, take some time to research the organisation and its values. Understanding their approach to trading and risk management will help you tailor your answers and show that you're genuinely interested in contributing to their success.
